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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job ID: 29875 → Apply until 16/08/2026 (DD/MM/YYYY) 23:59
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, security, and next-generation communication systems. The division also plays a key role in engineering education, particularly within the Master's programme in Information and Communication Technology. You
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methods to minimize false discoveries in de novo TE annotation, adapting existing TE annotation methods to cater to diverse species with varied TE landscapes, integrating cutting-edge methods to produce
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and Edge Computing Good programming skills (e.g., Python, MATLAB, C++) and experience with system simulation. Experience with industrial field projects or familiarity with DCS/MES systems is preferred
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analysis and interpretation of multidimensional microscopy datasets, integrating image processing, spectroscopy, diffraction, and computational methods to extract meaningful scientific insights. 3) Lead the
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
that can incorporate multi-scale computational simulations to aid with data fusion across multiple modalities of experiments with the final goal of discovering novel materials phenomena or even new materials
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decision science, psychology, communication, political science, sociology), or a technology-related field (e.g., computer science, industrial engineering) conferred by the expected start date Substantial
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
at Chapel Hill invites applications for a Postdoctoral position in AI driven drug discovery and accelerated molecular simulations. This role will support innovative research at the intersection of Artificial
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Debanjan Chowdhury. The Postdoctoral Associate will contribute to a research program focused on driven quantum systems and their applications to quantum information science, particularly in superconducting
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
, including transparency, blending, and perceptual separability. Develop and evaluate methods for perceptually grounded symbology selection, including simulation-based assessment across multiple background